protein formulation screening and usp testing€¦ · testing accusizer ® automated particle...
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ADVANCED MATERIALS HANDLING | APPLICATION NOTE
Protein Formulation Screening and USP <787> TestingAccuSizer ® automated particle count analysis for protein formulation optimization to minimize aggregation and perform USP <787> subvisible particulate matter testing.
INTRODUCTION—Dynamic light scattering (DLS) is a standard tool for determining
particle size of proteins, but this method does not provide
concentration information. The AccuSizer® single particle optical
sizing (SPOS) system is an ideal technique for determining
aggregated protein size and concentration in particles/mL for
sizes greater than 150 nm. Figure 1 shows Nicomp® DLS results
before and after heat stressing a monoclonal antibody. The after
stress result in blue shows the high resolution multimodal result
including larger aggregate peaks beginning at ~150 nm. The
AccuSizer cannot detect down to the 10 nm monomer size,
but but can provide quantitative data indicating the degree
of aggregation >150 nm. In this study the AccuSizer FX Nano
was used to investigate how various formulation stabilization
chemistries affected the resultant state of aggregation for a NIST
standard protein. The same AccuSizer particle counter can also be
used for USP <787> subvisible particulate matter testing.1
MATERIALS—The protein used was NIST reference material 8671, Lot 14HB-D-
002, NIST mAb, Humanized IgG1k monoclonal antibody2.
The primary size of the protein was measured on the Nicomp
dynamic light scattering (DLS) system using a 35 mW laser diode
source, APD detector. The protein aggregates were measured
on the AccuSizer FX Nano SIS system equipped with two sensors:
LE-400; 0.5 – 400 μm and FX Nano; 0.15 – 10 μm. The SIS
sampler provides accurate sample volume down to 100 μL with
sample recovery.
iFormulate3 (Figure 2) plates preloaded with formulations, designed
by DoE for rational formulation development, were used to test
aggregation levels as a function of formulation chemistry. These
evaluate four major variables of protein formulation; pH, ionic
strength, buffer, and stabilizer concentration using multivariate
experimental design.
Figure 2. iFormulate plate
The iFormulate plates used tested the following variables:
• pH: 5 – 7.6
• Ionic strength: 0 – 200 mM NaCl
• trehalose stabilizer: 0 – 10 %
• Buffer concentration: 10 – 50 mM
Figure 1. Nicomp DLS results before and after heat stress
2
METHODOLOGY—The NIST mAb was thawed and diluted to 1 mg/mL.
First 160 μL of filtered DI water was added to each well
in the iFormulate plate. Next 40 μL of NIST mAb was
added to each well. The plate was placed in an oven at
60°C (just below the protein melting point) for 24 hours.
Each well was analyzed using the AccuSizer particle
counter. The particle count data for >0.15 μm (total) and
>0.53 μm was submitted to iFormulate, who then
performed the data analysis and stability modeling.
RESULTS—The data was processed using a Pareto analysis
approach, a formal technique useful where many
possible courses of action are competing for attention.
The Pareto analysis gives ranking of variables and
interactions between variables. Figures 3 and 4 show
the Pareto analysis for >0.15 μm and >0.53 μm,
respectively. The colors indicate the relative importance
of the formulation variable to increased particle
count with blue = significant, gray = borderline, and
red = less significant.
Pareto E�ects for Total
+
Ter
m
1211109876543210
ECHIP
E�ect/1000000
+
+
++
+
++
+
--
-
-
-
12 Bu�er_Cone^24 Trehalose11 pH^214 Trehalose^26 pH*NaCl
10 NaCl*Trehalose9 Bu�er_Cone*Trehalose1 pH8 Bu�er_Cone*NaCl3 NaCl
2 Bu�er_Conc7 pH*Trehalose 5 pH*Bu�er_Cone13 NaCl^2
Figure 3. Pareto effects for >0.15 μm (Total)
Pareto E�ects for MT 0.53 Micron
Ter
m
35302520151050
ECHIP
E�ect/1000
++
++
--
-
--
--
--
-
12 Bu�er_Cone^24 Trehalose11 pH^214 Trehalose^26 pH*NaCl
10 NaCl*Trehalose9 Bu�er_Cone*Trehalose1 pH8 Bu�er_Cone*NaCl3 NaCl
2 Bu�er_Conc7 pH*Trehalose5 pH*Bu�er_Cone13 NaCl^2
Figure 4. Pareto effects for >0.53 μm
The next results, shown below present 3-D response
surface plots showing aggregation effects under
different conditions. This empirical view of design
space provides optimization to identify formulations
that minimize aggregation as indicated by higher
particle counts at the two size ranges. Figures 5 and 6
show results for varying pH and stabilizer (trehalose)
while keeping buffer and NaCl concentration constant.
Figure 5. Effect of pH and stabilizer >0.15 μm
x 10
^6
10
5
010
86
24
05
6
7
Bu�er Conc. = 30.0NaCl = 100.0
Trehalose
pH
3
x 10
^4
4
3
2
108
6
24
05
6
7
Bu�er Conc. = 30.0NaCl = 100.0
TrehalosepH
Figure 6. Effect of pH and stabilizer >0.53 μm
Figures 7 and 8 show results for varying NaCl and
stabilizer (trehalose) concentration while keeping
buffer concentration stable and pH varying slightly
from 5.91 to 6.3.
x 10
^6
15
10
5
0
200150
100
500 0
2
4
6
8
10
Bu�er Conc. = 30.0pH = 5.91
NaCl
Treh
alos
e
Figure 7. Effect of NaCl and stabilizer >0.15 μm
x 10
^4
3
2
108
64
20 0
50
100
150
200
Bu�er Conc. = 30.0pH = 6.3
Trehalose
NaC
l
Figure 8. Effect of NaCl and stabilizer >0.53 μm
These, and other results not shown here, were then
compiled to create the minimum particle count
optimization plots shown in Figures 9 and 10.
Tre
hal
ose
5.0 5.5 6.0 6.5 7.0 7.5
0
1
2
3
4
5
6
8
9
7
10 Bu�er Conc. = 30.0NaCl = 71.5
pH=6.30 Trehalose=7.15Value Low Limit High Limit-6.225117e+006 -1.984517e+007 7.394932e+006
2
Total x 10^6
pH
Figure 9. Particle minimization plot >0.15 μmT
reh
alo
se
5.0 5.5 6.0 6.5 7.0 7.5
0
1
2
3
4
5
6
8
9
7
10 Bu�er Conc. = 49.9NaCl = 44.1
pH=6.09 Trehalose=7.82Value Low Limit High Limit-6040.15 -34315.85 22235.54
20
510
20
MT0.53micron x 10^3
pH
Figure 10. Particle minimization plot >0.53 μm
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CONCLUSIONS—The results shown here indicated that the optimum
formulation chemistries to minimize particle count,
and therefore protein aggregation, were:
pH = 6.1 – 6.3
NaCl = 40 – 70 mM
trehalose = 7 – 8%
Buffer = 50 mM
The AccuSizer can also be used to perform USP <787>
testing at ≥10 and 25 μm, and can be automated using
the A2000 MPA Microplate Analyzer 4.
References1 USP <787>, Subvisible Particulate Matter in Therapeutic Protein
Injuctions, see usp.org
2 NIST reference material 8671, Lot 14HB-D-002, NIST mAb, see
https://www.nist.gov/programs-projects/
nist-monoclonal-antibody-reference-material-8671
3 iformulate, see https://iformulate.net/
4 AccuSizer A2000MPA, see
https://www.youtube.com/watch?v=aMXRwg88 Ro&t=278s